Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru-Reference-Cited by-同舟云学术

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Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru

Published:2021-09-17 Issue: Volume: Page:191-199
ISSN:2367-3370
Container-title:Proceedings of Sixth International Congress on Information and Communication Technology
language:
Short-container-title:

Author:

Soria Juan J.^ORCID,Poma Orlando^ORCID,Sumire David A.^ORCID,Rojas Joel Hugo Fernandez^ORCID,Echevarria Maycol O.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2380-6_17

Reference21 articles.

1. Bennett AJ, Harrison RG (2007) Historical background 62(10)

2. Boltek N (2014) EFM-100 atmospheric electric field monitor guide. www.boltek.com

3. Davis (2019) Vantage Pro2 Manuel de la console. https://www.davisnet.com/legal

4. Eberhard J, Geissbuhler V (2000) Konservative und operative therapie bei harninkontinenz, deszensus und urogenital-beschwerden. Journal fur Urologie und Urogynakologie 7(5):32–46. MIT Press

5. Harrison RG, Nicoll KA (2018) Fair weather criteria for atmospheric electricity measurements. J Atmos Solar Terr Phys 179:239–250. https://doi.org/10.1016/j.jastp.2018.07.008

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